Launching today
Your customers ask ChatGPT, Gemini, Perplexity and Claude before they ever reach Google. AI Visibility checks how those assistants talk about your brand: whether they name you, who they name instead, and which sources they trust. You get a visibility score, a competitor leaderboard, an AEO audit of your site, and a fix list you can act on the same day. Free to run on any brand and website.
@baliy Hi there, we started checking this by hand a few months back and what surprised me was how differently each model described us, and how fast it drifted after one blog post got indexed. Do you track the delta over time so you can tie a shift in what the models say back to something specific you published? The one-off snapshot is interesting, but the trend is what would actually change how we write.
We’ve been using AI Visibility for our SaaS, and it’s one of the few GEO/AI visibility tools that provides insights we can actually act on. We especially like seeing which prompts we’re already visible for, where competitors are ahead, and how our visibility changes over time. The reports have already inspired new content ideas, including comparison pages, integration guides, and content focused on real customer questions.
A couple of features we’d love to see: email notifications when a scheduled report is ready or when visibility changes significantly, plus a “content opportunities” section suggesting blog topics based on prompts where competitors are cited but we aren’t. A directory of potential guest post partners or industry blogs would also be a great addition.
Interesting direction. Have you noticed cases where an AI model confidently gives outdated or incorrect brand information, and if so, how do you distinguish hallucinations from missing public data?
the "assistants change their answers between runs" honesty is the right instinct, but it raises the obvious question: how many samples per assistant go into one score? a single ChatGPT call is basically one noisy draw, and if the tool only fires once per assistant per check, two people running it an hour apart on the same brand could get meaningfully different scores and think something changed when it's just sampling variance.
Really like that you're measuring AI visibility as a competitive landscape instead of just another SEO score.
One thing I'm curious about: as LLMs update constantly, how do you distinguish between a temporary ranking fluctuation and a genuine shift in a brand's AI visibility? That seems like the difference between founders reacting to noise versus making better strategic decisions.
Congrats on the launch! 🚀
the "who they name instead" part of this is what actually matters to me, way more than just "does it mention us." I've checked ChatGPT manually for my own stuff before and the bigger surprise was seeing which competitor kept getting recommended over me and having zero idea why. does the audit try to explain why a competitor wins a mention, or just flag that they do?
Congrats on the launch. I run several models side by side in my own product and they disagree with each other far more than people expect, so I can believe brand answers vary a lot between ChatGPT, Gemini and Claude. How often do the three actually contradict each other about the same company? And is the check point in time, or do you track how the answers drift week to week?